The Ambulatory and Home Care Record: A Methodological Framework for Economic Analyses in End-of-Life Care
Bibliographic record
Abstract
Provision of end-of-life care in North America takes place across a multitude of settings, including hospitals, ambulatory clinics and home settings. As a result, family caregiving is characteristically a major component of care within the home. Accordingly, economic evaluation of the end-of-life care environment must devote equal consideration to resources provided by the public health system as well as privately financed resources, such as time and money provided by family caregivers. This paper addresses the methods used to measure end-of-life care costs. The existing empirical literature will be reviewed in order to assess care costs with areas neglected in this body of literature to be identified. The Ambulatory and Home Care Record, a framework and tool for comprehensively measuring costs related to the provision and receipt of end-of-life care across all health care settings, will be described and proposed. Finally, areas for future work will be identified, along with their potential contribution to this body of knowledge.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.334 | 0.471 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.022 | 0.027 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.005 | 0.008 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".